In just one tweet?

At the interview for entry onto the PhD programme, one of the panel asked me if I could sum up my research proposal in a tweet. Although it shouldn’t have, that question stumped me at the time, but as a result, it did stick with me. A reasonable question to ask in my viva might be ‘Can you sum up your PhD in a tweet?’ Currently I’m struggling to get it under 90 000 words, so I still have some way to go! Following the first draft of my thesis, one of the feedback points was that I needed to be able to synthesise my findings into a handful of bullet points, even if I didn’t subsequently present them as such. It’s about having a distillation that’s brief enough to fit into the abstract and encapsulate what my study found, whilst leaving room for the other bits that also need to be in the abstract like the methodology, methods, theoretical approach etc. I thought I might try to go a step further and get it down to tweet length; after all, since I started the PhD, Twitter’s generously provided double the characters to play with.Read More »

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Flânographie?

“Soho London, street after rain” flickr photo by Julie70 Joyoflife https://flickr.com/photos/joyoflife/3852036822 shared under a Creative Commons (BY-NC-ND) license

In earlier posts, including this one, I’ve attempted articulate what flânerie involves. Like the urban wanderer, explorer, observer and chronicler of city life, I’ve approached my research as flâneur. Initially, that was in attempting to find an alternative way of describing my ‘ethnographic’ approach to Twitter. Initially, only somewhat playfully, I called this a ‘flanography.’ More recently, I included it within my thesis; it had become a ‘thing!’ What struck me at the time, and what was recently reinforced during a supervisory meeting, was that I need to articulate clearly what distinguishes flanography from ethnography. In this post I want to thrash around a few thoughts how that might be done.Read More »

Further Flânerie on Twitter

In a previous post, I outlined how creating an image, initially for a competition, also illustrated how that visualisation process often became an analytical (flânalytical?) technique. Having been inspired by the @metropologeny city maps, as I began planning the vis, it always struck me that tweets seemed to naturally fit the mainly rectangular shapes of the buildings on the map. In being drawn towards the tweets however, I wondered about the other data sources which were part of my study, but temporarily parked that aspect until I’d resolved the technical aspects of producing the image. Now, with that task completed and the image submitted for the competition, I now turned back to the other data. How might blog posts or interviews also contribute to the vis?

Before delving into how I moved forward, perhaps it might help to rewind somewhat and look at how the map was built in the first place. This animation shows the different stages

“Animated composite” flickr photo by IaninSheffield https://flickr.com/photos/ianinsheffield/41631862981 shared under a Creative Commons (BY-NC-SA) license

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Visualising Flânerie on Twitter

“Doctoral Research Image” flickr photo by IaninSheffield https://flickr.com/photos/ianinsheffield/40631136105 shared under a Creative Commons (BY-NC-SA) license

Here at SHU there’s a couple of PhD researcher competitions on at the moment as part of the forthcoming Doctoral Showcase series. There’s the ‘Three Minute Thesis’ heats and local final, but the one that attracted my interest was the ‘SHU Doctoral Research Image Competition 2018.’ I’ve been producing visualisations throughout my study and I had in mind one I wanted to produce, but hadn’t because I knew it would suck up time. The competition provided the final impetus and although I suspect from the information and instructions, the organisers are expecting photographic images, I thought I’d have a shot at pushing the boundaries.

We welcome attention-grabbing images to intrigue, inform or excite a lay/non-specialist research audience about your research. Images may be arresting, beautiful, moving or even amusing but they must relate to your doctoral research project.

Entrants are also allowed 150 words of accompanying text; here are mine:

The flâneur of 19th Century Paris was an observer and chronicler of city life. In exploring the bold claims some teachers make that ‘Twitter is the best PD ever!’, I called on the spirit of the flâneur to guide my ethnographic approach.

One of several methods I employed in the study was participant observation; this image is formed from tweets collected during that process. Each of the districts or ‘quartiers’ contains tweets on one of the emerging themes, each typified by a magnified example.

Since flânerie inspired my approach to observation, analysis of the data, and presentation of the findings, I sought an image which spoke to that activity. Although somewhat playful, creating this image, and other visualisations during the study, was more than simple representation. On each occasion I found the attention to compositional detail which was demanded also yielded additional analytical insights.

 

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Never mind the quality, feel the width…

“integrity” flickr photo by drumminhands https://flickr.com/photos/drumminhands/7114464945 shared under a Creative Commons (BY) license

In preparing for a forthcoming supervisory meeting, I’ve been asked to share what I felt were the standout insights from my empirical observations, but for each one explain how I know, how I convinced myself of that, and how I can convince others. I guess what I’m being asked here is to justify my claims to knowledge; how do I assert that my interpretations are plausible? Lincoln and Guba (1985:290) phrase it as follows:

“How can an inquirer persuade his or her audiences (including self) that the findings of an inquiry are worth  paying attention to, worth taking account of?”

For them it is about trustworthiness and the arguments which can be mounted to make the case, however, assessing the quality of research findings is far from straightforward and is contested in a number of ways. Traditionally, research quality has been judged on the criteria of validity, reliability, generalisability, and objectivity. Validity, simply put, is the extent to which an account adequately represents the phenomenon it purports to. Reliability is related to the replicability of the data generation and analysis; if different people conducted the same study, or the same person on different occasions, would the outcomes be the same? Generalisability refers to the extent what has been learned can be extended to wider populations and objectivity, to how the biases and interests of researcher and researched have been reduced or accounted for.Read More »

Groups, communities, collectives or …?

Recently Stephen Downes released an updated version of a graphic outlining how groups and networks differ in what he proposes as ‘The Semantic Condition,’ a network design principle. He helpfully explains how the diagram was produced in this video:

In addition to the criteria he uses to distinguish between the two ways in which people might organise or aggregate, what attracted my attention was the appearance of Twitter within the arguments. One of the aspects coming through in the data from my research, is how educators on Twitter describe the ways in which they come together. The most common term people seem to use is community, but group, tribe and network also appear. Although these terms are conceptualised differently, I suspect in most cases, a particular term is used simply because it happens to be the favoured choice, rather than having an awareness that there is a distinction between it and the others. If I was to explore this more carefully, I might be able to tease apart the ways in which people see these different terms, but suspect that what for one person is a community, could just as easily be what a tribe is for another. It was from wondering how these different groupings are distinguished from one another in the literature, that I was attracted to Stephen’s graphic.Read More »

Wither wends my tweet?

I was attempting to write a vignette yesterday about how the tweet which prompted this post actually got in front of the eyes of some people who might be so inclined to respond. If we’re asking a question or seeking advice, rather than sharing a resource or thought, then the audience becomes even more significant than it normally would. Without an audience, like the falling tree in the forest needing someone to hear it, the tweet and the query it carries may as well not be there.Read More »

Mentoring?

During a daily observation, this tweet dropped into my timeline:

At the time, I think I’m right in saying the author, Lauran, was a trainee teacher, so her question was perhaps pitched towards those with wider experience. Including the hashtag #teamenglish helps in that regard, and through its reach, draws in a variety of responses. #teamenglish and the account which acts under the same banner (@Team_English) are relatively young, but have enjoyed an explosion of interest in the year since their inception. An interesting case to study in their own right perhaps, but for now I’ll stay on track and explore where Lauran’s tweet took me what assembled as a result of Lauran’s tweet.Read More »

Pingbacks: hiding in plain sight

Having set thesis drafting aside pending feedback from my supervisors, I’ve returned to my data … and each time I write that phrase ‘my data,’ it bothers me. It’s really not my data at all; I don’t have any particular rights over them, other than, with the help of a bunch of other folk. having assembled them together. Anyway, I’ve returned to my flânografie and am casting my eyes back over the notes I made during the seven months of participant observation. These were the episodes which appeared on Twitter, sometimes in my timeline, sometimes through using search terms on Tweetdeck and often as a result of someone pointing me towards a tweet or post they thought I might find interesting.

“Bloom’s Taxonomy and Twitter” by Aditi Rao, @TeachBytes https://teachbytes.com/2013/03/25/22-ways-to-use-twitter-with-blooms-taxonomy/

In this instance I have Andrea Stringer to thank for pointing me towards the blog post which prompted me to write this. “22 Ways To Use Twitter With Bloom’s Taxonomy” was written by Aditi Rao, @TeachBytes on Twitter. Usually when an item like this came into view, I’d make some notes describing what I saw and adding a few reflective comments. Back in January of 2017 when I read Aditi’s post, I remarked neither on Aditi’s brief introduction to the graphic, nor on its contents. What struck me more was the effect it was having on other people and how they might be learning from it. My attention was therefore drawn to the ways in which other people had interacted with the post and their reactions to it.Read More »